"Improving Sample Efficiency and Multi-Agent Communication in RL-based ..."

Dano Roost et al. (2020)

> Home

Details and statistics

DOI: 10.1109/SDS49233.2020.00024

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/sds2/RoostMHNEWS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sds2/RoostMHNEWS20
Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann:
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling. SDS 2020: 63-64

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.